3 papers
cond-mat.dis-nn2024
Learning and Unlearning: Bridging classification, memory and generative modeling in Recurrent Neural Networks
Enrico Ventura
The human brain is a complex system that is fascinating scientists since a long time. Its remarkable capabilities include categorization of concepts, retrieval of memories and crea…
cond-mat.dis-nn2024
Demolition and Reinforcement of Memories in Spin-Glass-like Neural Networks
Enrico Ventura
Statistical mechanics has made significant contributions to the study of biological neural systems by modeling them as recurrent networks of interconnected units with adjustable in…
cond-mat.dis-nn2023
Memory Storage and Retrieval in Sparsely Connected Balanced Networks
Enrico Ventura
Ever since the last two decades of the past century pioneering studies in the field of statistical physics had focused their efforts on developing models of neural networks that co…